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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- super_glue |
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metrics: |
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- accuracy |
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model-index: |
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- name: '20230824104542' |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# 20230824104542 |
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This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3421 |
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- Accuracy: 0.7256 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.003 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 11 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 60.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
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| No log | 1.0 | 312 | 1.0891 | 0.5307 | |
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| 0.5902 | 2.0 | 624 | 0.6221 | 0.4765 | |
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| 0.5902 | 3.0 | 936 | 0.4801 | 0.5379 | |
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| 0.5511 | 4.0 | 1248 | 0.4461 | 0.5054 | |
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| 0.5299 | 5.0 | 1560 | 0.5922 | 0.5162 | |
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| 0.5299 | 6.0 | 1872 | 0.4113 | 0.5199 | |
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| 0.509 | 7.0 | 2184 | 0.4885 | 0.5451 | |
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| 0.509 | 8.0 | 2496 | 0.4106 | 0.4910 | |
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| 0.4976 | 9.0 | 2808 | 0.5019 | 0.4874 | |
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| 0.4898 | 10.0 | 3120 | 0.4132 | 0.5307 | |
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| 0.4898 | 11.0 | 3432 | 0.4564 | 0.4874 | |
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| 0.4739 | 12.0 | 3744 | 0.4919 | 0.5307 | |
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| 0.4594 | 13.0 | 4056 | 0.4235 | 0.4982 | |
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| 0.4594 | 14.0 | 4368 | 0.3937 | 0.5812 | |
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| 0.4444 | 15.0 | 4680 | 0.3871 | 0.5812 | |
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| 0.4444 | 16.0 | 4992 | 0.4123 | 0.6065 | |
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| 0.4334 | 17.0 | 5304 | 0.3986 | 0.6209 | |
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| 0.4045 | 18.0 | 5616 | 0.4088 | 0.6029 | |
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| 0.4045 | 19.0 | 5928 | 0.3935 | 0.6209 | |
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| 0.3999 | 20.0 | 6240 | 0.3645 | 0.6715 | |
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| 0.376 | 21.0 | 6552 | 0.4230 | 0.5740 | |
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| 0.376 | 22.0 | 6864 | 0.3911 | 0.6823 | |
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| 0.3683 | 23.0 | 7176 | 0.5057 | 0.6534 | |
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| 0.3683 | 24.0 | 7488 | 0.3273 | 0.7040 | |
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| 0.3501 | 25.0 | 7800 | 0.3663 | 0.7004 | |
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| 0.344 | 26.0 | 8112 | 0.3755 | 0.6931 | |
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| 0.344 | 27.0 | 8424 | 0.3648 | 0.7112 | |
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| 0.3354 | 28.0 | 8736 | 0.3359 | 0.7148 | |
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| 0.3288 | 29.0 | 9048 | 0.3362 | 0.7112 | |
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| 0.3288 | 30.0 | 9360 | 0.5539 | 0.6787 | |
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| 0.3199 | 31.0 | 9672 | 0.3617 | 0.7112 | |
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| 0.3199 | 32.0 | 9984 | 0.3601 | 0.7184 | |
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| 0.3166 | 33.0 | 10296 | 0.3325 | 0.7292 | |
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| 0.3037 | 34.0 | 10608 | 0.3274 | 0.7256 | |
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| 0.3037 | 35.0 | 10920 | 0.3412 | 0.7076 | |
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| 0.2987 | 36.0 | 11232 | 0.3509 | 0.7256 | |
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| 0.2842 | 37.0 | 11544 | 0.3945 | 0.7076 | |
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| 0.2842 | 38.0 | 11856 | 0.3224 | 0.7365 | |
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| 0.2894 | 39.0 | 12168 | 0.4010 | 0.7148 | |
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| 0.2894 | 40.0 | 12480 | 0.3472 | 0.7220 | |
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| 0.2764 | 41.0 | 12792 | 0.3364 | 0.7112 | |
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| 0.2708 | 42.0 | 13104 | 0.3379 | 0.7040 | |
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| 0.2708 | 43.0 | 13416 | 0.3625 | 0.7148 | |
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| 0.2665 | 44.0 | 13728 | 0.3435 | 0.7220 | |
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| 0.265 | 45.0 | 14040 | 0.3762 | 0.7292 | |
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| 0.265 | 46.0 | 14352 | 0.3322 | 0.7220 | |
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| 0.2618 | 47.0 | 14664 | 0.3265 | 0.7329 | |
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| 0.2618 | 48.0 | 14976 | 0.3752 | 0.7292 | |
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| 0.2513 | 49.0 | 15288 | 0.3415 | 0.7292 | |
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| 0.2487 | 50.0 | 15600 | 0.3604 | 0.7220 | |
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| 0.2487 | 51.0 | 15912 | 0.3484 | 0.7292 | |
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| 0.2488 | 52.0 | 16224 | 0.3598 | 0.7329 | |
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| 0.2404 | 53.0 | 16536 | 0.3719 | 0.7184 | |
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| 0.2404 | 54.0 | 16848 | 0.3329 | 0.7220 | |
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| 0.2359 | 55.0 | 17160 | 0.3535 | 0.7220 | |
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| 0.2359 | 56.0 | 17472 | 0.3606 | 0.7256 | |
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| 0.2364 | 57.0 | 17784 | 0.3407 | 0.7292 | |
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| 0.2343 | 58.0 | 18096 | 0.3342 | 0.7292 | |
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| 0.2343 | 59.0 | 18408 | 0.3451 | 0.7220 | |
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| 0.2348 | 60.0 | 18720 | 0.3421 | 0.7256 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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